Qinxun Bai
http://cs-people.bu.edu/qinxun/
Email: qinxun@bu.edu
Objective
Research oriented industrial positions in machine learning and computer vision.
Education
Boston University
Ph.D. Candidate in Computer Science
Thesis: “Differential Geometric Approach to Classification”
Advisors: Prof. Stan Sclaroff and Prof. Steven Rosenberg
The National Laboratory of Pattern Recognition,
Chinese Academy of Sciences
M.S. in Pattern Recognition and Intelligent Systems
Thesis: “Robust 3D Scene Reconstruction”
Advisor: Prof. Yihong Wu
Tsinghua University
B.Eng. in Electronic Engineering
Professional
Experience
Image and Video Computing Group, Boston Univ.
Research Assistant
Differential Geometric Framework for Regularization
Advisors: Prof. Steven Rosenberg and Prof. Stan Sclaroff
New geometric perspective on overfitting,
First regularization approach that exploits the geometry
of a robust class probability estimator for classification,
Unified framework for both binary and multiclass cases,
Compares favorably with existing regularization methods,
Ongoing applications include Deep Neural Networks,
multi-label classification, and unsupervised learning.
http://cs-people.bu.edu/qinxun/geo/geo.html
Bayesian Asymptotics for Stochastic Optimization
Advisors: Prof. Henry Lam and Prof. Stan Sclaroff
Bring Bayesian statistics to stochastic global optimization,
Global convergence guarantee without convexity condition,
Favorable convergence rate compared with standard SGD,
A new and promising method for online ensemble learning.
http://cs-people.bu.edu/qinxun/boe/boe.html
Online Ensemble Learning for Visual Tracking
Advisors: Prof. Stan Sclaroff and Prof. Margrit Betke
A new Bayesian method for ensemble tracking,
Strong occlusion handling when coupled with a fine grid
appearance model,
Outperforms previous ensemble tracking methods.
http://cs-people.bu.edu/qinxun/ret/ret.html
Boston, MA
09/2010 - present
Beijing, China
09/2008 - 06/2010
Beijing, China
09/2002 - 06/2006
Boston, MA
09/2010 - present
Microsoft Research Cambridge
Research Intern
Mentors: Sebastian Nowozin and Daniel Tarlow
A PatchMatch-based idea to speed up the Markov chain
Monte Carlo (MCMC) for large random field models.
The National Laboratory of Pattern Recognition,
Chinese Academy of Sciences
Research Assitant
Advisor: Prof. Yihong Wu
New method for extracting structured information
(collinearity and coplanarity) for scene reconstruction,
Used in the NSF China key project for complex and
large scale scene reconstruction.
The National Laboratory of Pattern Recognition,
Chinese Academy of Sciences
Software Engineer
Mentor: Prof. Stan Z. Li
Built a 3D face synthesis system that generates 3D faces
from a single frontal face image,
The system served for the Face Authentication System for
Beijing 2008 Olympics, generating multi-view training data.
Cambridge, UK
Summer 2014
Beijing, China
09/2008 - 06/2010
Beijing, China
09/2006 - 06/2008
Skills
Proficiency in C++ and Matlab with 10 years experience.
Familiar with Lua.
Layer module design experience for deep learning based on Torch.
Publications
Qinxun Bai, Steven Rosenberg, Zheng Wu and Stan Sclaroff. “Class Probability Estimation via Differential Geometric Regularization.” To appear in Proc. of International
Conference on Machine Learning (ICML), 2016.
Qinxun Bai, Henry Lam and Stan Sclaorff. “A Bayesian Approach for Online Classifier Ensemble.” Under review, arXiv preprint arXiv:1507.02011, 2015.
Qinxun Bai, Henry Lam and Stan Sclaorff. “A Bayesian Framework for Online Classifier Ensemble.” In Proc. of International Conference on Machine Learning (ICML),
2014.
Qinxun Bai, Zheng Wu, Stan Sclaroff, Margrit Betke and Camille Monnier. “Randomized Ensemble Tracking.” In Proc. of the IEEE International Conference on Computer Vision (ICCV), 2013.
Qinxun Bai, Yihong Wu, and Lixin Fan. “PCA-based Structure Refinement for
Reconstruction of Urban Scene.” In Proc. of the IEEE International Conference on
Image Processing (ICIP), 2010.
Zhen Lei, Qinxun Bai, Ran He and Stan Z. Li. “Face Shape Recovery from a Single
Image Using CCA Mapping between Tensor Spaces.” In Proc. of the IEEE Conference
on Computer Vision and Pattern Recognition (CVPR), 2008.
Professional
Service
Reviewer for:
Computer Vision and Image Understanding
Neurocomputing
ICML ’16
IJCAI ’16
AAAI ’14
IEEE Transactions on Image Processing (external)
ICCV ’15 (external)
CVPR ’12, ’13, ’16 (external)
Teaching fellow at Boston University:
CS480/680 Introduction to Computer Graphics, Spring 2011
CS542 Machine Learning, Spring 2013
CS235 Algebraic Algorithms, Fall 2013, Spring 2014
CS132 Geometric Algorithms, Spring 2015, Fall 2015
References
Stan Sclaroff, Boston University
Associate Dean of the Faculty, Mathematical & Computational Sciences
Professor of Computer Science
111 Cummington Mall, Rm 279
Boston, MA 02215
sclaroff@bu.edu
Steven Rosenberg, Boston University
Professor of Mathematics & Statistics
111 Cummington Mall, Rm 248
Boston, MA 02215
sr@bu.edu
Henry Lam, University of Michigan
Assistant Professor of Industrial and Operations Engineering
1205 Beal Ave.
Ann Arbor, MI 48109
khlam@umich.edu